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Update app.py
Browse filesTool added get_current_stock_price
app.py
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@@ -3,7 +3,6 @@ import datetime
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import requests
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import pytz
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import yaml
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from tools.final_answer import FinalAnswerTool
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from tools.stock_price_tool import StockPriceTool
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import yfinance as yf
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from typing import Any, Optional
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@@ -40,8 +39,49 @@ def get_current_time_in_timezone(timezone: str) -> str:
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except Exception as e:
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return f"Error fetching time for timezone '{timezone}': {str(e)}"
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final_answer = FinalAnswerTool()
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stock_price_tool = StockPriceTool()
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# If the agent does not answer, the model is overloaded, please use another model or the following Hugging Face Endpoint that also contains qwen2.5 coder:
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# model_id='https://pflgm2locj2t89co.us-east-1.aws.endpoints.huggingface.cloud'
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@@ -53,7 +93,6 @@ model_id='Qwen/Qwen2.5-Coder-32B-Instruct',# it is possible that this model may
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custom_role_conversions=None,
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)
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# Import tool from Hub
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image_generation_tool = load_tool("agents-course/text-to-image", trust_remote_code=True)
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@@ -62,7 +101,7 @@ with open("prompts.yaml", 'r') as stream:
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agent = CodeAgent(
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model=model,
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tools=[
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max_steps=6,
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verbosity_level=1,
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grammar=None,
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import requests
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import pytz
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import yaml
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from tools.stock_price_tool import StockPriceTool
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import yfinance as yf
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from typing import Any, Optional
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except Exception as e:
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return f"Error fetching time for timezone '{timezone}': {str(e)}"
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@tool
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def get_current_stock_price(ticker_symbol: str) -> Optional[dict]:
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"""
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Fetches the latest stock price for the given ticker symbol and calculates
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the price change over the last 5 days.
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Args:
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ticker_symbol: The stock ticker symbol to fetch the price for.
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Returns:
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dict: A dictionary containing the current stock price, the price change
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over the last 5 days, and the percentage change.
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Returns None if there's an error or no data is available.
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"""
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try:
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# Fetch stock data
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stock = yf.Ticker(ticker_symbol)
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stock_data = stock.history(period="5d") # Fetch data for the last 5 days
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if stock_data.empty:
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return {"error": f"No historical data available for {ticker_symbol}"}
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# Get the current price (last close price)
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current_price = stock_data['Close'].iloc[-1]
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# Calculate the price change over the last 5 days
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price_change = current_price - stock_data['Close'].iloc[0]
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price_change_percent = (price_change / stock_data['Close'].iloc[0]) * 100
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# Round all values to 2 decimal places
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return {
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"price": round(current_price, 2),
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"price_change": round(price_change, 2),
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"price_change_percent": round(price_change_percent, 2)
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}
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except yf.exceptions.YFinanceException as yf_err:
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logger.error(f"YFinance error for {ticker_symbol}: {str(yf_err)}")
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except Exception as e:
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logger.error(f"Unexpected error fetching price for {ticker_symbol}: {str(e)}")
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return None
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final_answer = FinalAnswerTool()
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# If the agent does not answer, the model is overloaded, please use another model or the following Hugging Face Endpoint that also contains qwen2.5 coder:
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# model_id='https://pflgm2locj2t89co.us-east-1.aws.endpoints.huggingface.cloud'
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custom_role_conversions=None,
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)
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# Import tool from Hub
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image_generation_tool = load_tool("agents-course/text-to-image", trust_remote_code=True)
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agent = CodeAgent(
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model=model,
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tools=[get_current_stock_price], ## add your tools here (don't remove final answer)
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max_steps=6,
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verbosity_level=1,
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grammar=None,
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